Optimal Dispatching Strategy for Electric Vehicle Charging Station Based on Soft Actor-Critic Algorithm

Electric vehicles are emerged as a promising clean energy transportation solution. However, a massive deployment of EVs tends to create new technical challenges for modern power systems, such as the orderly dispatch of EVs charging. To this end, this paper develops an optimal dispatching method for electric vehicles charging station to maximize its own profit as well as enhance the stability of distribution networks. Moreover, an enhanced deep reinforcement learning based method call soft actor-critic is utilized to deal with the optimization problem and obtain the optimal dispatching strategy. The experiment results illustrate that the proposed method can significantly maximize the charging station's profit.

Authors

Institutions

Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/ciced63421.2024.10754570
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal Dispatching Strategy for Electric Vehicle Charging Station Based on Soft Actor-Critic Algorithm

Haijing Zhang, Yue Liang, Meng Li, Yong Xia et al.
Power Systems and Renewable Energy
article

Optimal Dispatching Strategy for Electric Vehicle Charging Station Based on Soft Actor-Critic Algorithm

Haijing Zhang, Yue Liang, Meng Li, Yong Xia, Feng Zhu, Jiyan Liu
article en

Abstract

Electric vehicles are emerged as a promising clean energy transportation solution. However, a massive deployment of EVs tends to create new technical challenges for modern power systems, such as the orderly dispatch of EVs charging. To this end, this paper develops an optimal dispatching method for electric vehicles charging station to maximize its own profit as well as enhance the stability of distribution networks. Moreover, an enhanced deep reinforcement learning based method call soft actor-critic is utilized to deal with the optimization problem and obtain the optimal dispatching strategy. The experiment results illustrate that the proposed method can significantly maximize the charging station's profit.

State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 79%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimal Dispatching Strategy for Electric Vehicle Charging Station Based on Soft Actor-Critic Algorithm — Haijing Zhang, Yue Liang, et al. · (2024) | TGRS Research Map | TGRS